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A new methodology to estimate the discrete-return point density on airborne lidar surveys

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A new methodology to estimate the discrete-return point density on airborne lidar surveys

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dc.contributor.author Balsa Barreiro, José es_ES
dc.contributor.author Lerma García, José Luis es_ES
dc.date.accessioned 2015-12-30T09:16:08Z
dc.date.available 2015-12-30T09:16:08Z
dc.date.issued 2014-02
dc.identifier.issn 0143-1161
dc.identifier.uri http://hdl.handle.net/10251/59298
dc.description This is an author's accepted manuscript of an article published in "International Journal of Remote Sensing", Volume 35, Issue 4, 2014; copyright Taylor & Francis, available online at: http://www.tandfonline.com/doi/abs/10.1080/01431161.2013.878063 es_ES
dc.description.abstract The distribution of the discrete-return point density in airborne lidar flights obtained from an oscillating mirror laser scanner is analysed and alternative formulations to determine its value are presented. The point density in a lidar swath varies and can best be fitted with a potential function. This study confirms that calculating the overall point density with traditional statistical parameters yields biased results owing to the abnormally high densities of the swath boundaries. New formulas for calculating the representative mean are proposed: a weighted arithmetic mean (WAM) based on a potential function; geometric mean (GM); and harmonic mean (HM). All three means give more weight to the central sectors across the strip and less to the boundary sectors where extreme data redundancy exists. The WAM based on a potential function yields equivalent estimates as the HM; the GM yields slightly higher estimates. The results obtained improve the mean estimation and, more importantly, allow users to estimate better the mean point density on airborne lidar surveys, which are usually overestimated approximately by 15%. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis: STM, Behavioural Science and Public Health Titles es_ES
dc.relation.ispartof International Journal of Remote Sensing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject LiDAR es_ES
dc.subject Point density es_ES
dc.subject Weighted arithmetic mean es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title A new methodology to estimate the discrete-return point density on airborne lidar surveys es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/01431161.2013.878063
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.description.bibliographicCitation Balsa Barreiro, J.; Lerma García, JL. (2014). A new methodology to estimate the discrete-return point density on airborne lidar surveys. International Journal of Remote Sensing. 35(4):1496-1510. doi:10.1080/01431161.2013.878063 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1080/01431161.2013.878063 es_ES
dc.description.upvformatpinicio 1496 es_ES
dc.description.upvformatpfin 1510 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 35 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 258342 es_ES


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